Computer Vision Lead

This Jobot Job is hosted by: AJ Friedman
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Salary: $150,000 - $200,000 per year

A bit about us:

Headquartered in Philadelphia, PA, our company was established by a group of real-time automation and system solution engineers. We are a global leader in real-time IT and industrial automation solutions Our mission is to create technological partnerships with world-class R&D and manufacturing organizations to provide validated automation and information technology solutions customized to meet your business and technology requirements.

We're looking for a highly experienced and motivated Computer Vision Engineer to join our growing engineering design and development team. As the lead for computer vision engineering, you will be responsible for designing and spearheading the development and implementation of cutting-edge machine vision solutions that deliver significant impact and value to industries such as pharmaceutical/biotech, medical device, automotive, logistics, and more.

If you're looking to lead an exception team in a highly collaborative and rewarding environment, please apply below.

Why join us?

• Competitive compensation with technical & management growth tracks
• Annual performance-based raises and bonuses
• 401(k) savings plan(s) with company matching
• Paid Time Off Packages
• Medical, Dental, Life, Short & Long-Term Disability benefits
• A structured approach to career and professional development opportunities
• Company-paid lunches, snacks, sponsored professional events & training programs

Job Details

Requirements:

• A Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related engineering discipline.
• 5+ Years of experience designing, developing, implementing, and integrating machine vision solutions with industrial automation technologies and equipment, such as robotics, PLCs, and control systems.
• Deep knowledge and understanding of computer vision principles and solutions, including image acquisition, optics, lighting, algorithm development, object detection, segmentation, and recognition, AI neural networks, 3D imaging, and metrology inspections.
• Demonstrated proficiency in designing and implementing automated machine vision applications using imaging components, such as cameras, lighting, optics, and material handling equipment.
• Experience with image processing libraries such as OpenCV, Cognex, Halcon, or Keyence Vision Libraries.
• Experience in developing vision software algorithms and solutions in programming languages such as Python, C#, C++, or Java.
• Familiarity with machine learning techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning.
• Excellent analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Strong leadership and project management skills.
• Demonstrated ability and experience to work independently and lead a team of engineers.

Preferred, but not Required:

• AIA CVP-Advanced or equivalent machine vision certification credentials.
• Experience with Cognex ViDi & VisionPro.
• Experience with relational database user interface and query software (e.g., Structured Query Language SQL).
• Experience implementing projects in a regulated/validated GxP environment.

Key Job Responsibilities:

• Design, develop, and deploy cutting-edge machine vision systems and solutions on a variety of platforms that integrate with other automation equipment such as robotics, PLCs, and control systems.
• Work closely with cross-functional teams of software, controls, automation, robotics, and mechatronic engineers to deeply understand customer and product needs and translate them into technical functional and design requirements.
• Conceptualize and design custom industrial automation machine vision systems, including development and confirmation of technical specifications.
• Oversee equipment assessment, ordering, and verification that final system hardware and software meet customer requirements.
• Oversee and support development, testing, and installation activities to ensure machine vision systems conform to engineering design, meet customer requirements and design specifications, and are production-ready.
• Act as the engineering departments primary point of contact on machine vision system design and technical matters for assigned projects.
• Provide guidance and direction in technical design and risk evaluation as part of the solution design team.
• Act as the escalation point for both internal and customer teams for machine vision system challenges that arise during the build, installation, or support of a custom automated system that our company has designed.
• Collaborate with the Research & Development Group on defining the requirements for machine vision integrations into new our company products, specifically Robotics integrations and the use of AI-assisted inspections for new applications.
• Develop and optimize image processing algorithms and machine learning models to improve the accuracy and performance of computer vision systems.
• Provide expert technical support including design, development, configuration and implementation, and troubleshooting of machine vision solutions systems.
• Participate in testing, debugging, and troubleshooting of computer vision systems to ensure they meet the design specifications.
• Conduct research and development to identify and evaluate new technologies, tools, and techniques that can be used to enhance the machine vision solutions and their integration with other automation equipment.
• Document design specifications, code, and test procedures.
• Mentor and provide technical guidance to team members.
• Support the development, review, and approval of Machine Vision Solution specifications, code, procedures, and associated documentation deliverables.
• Support our company's Business Development Team in the creation of conceptual solution design, technical writing, and associated cost/time estimates for Machine Vision Solution Hardware, Software, and engineering services.
• Communicate and coordinate with project stakeholders to manage expectations and ensure successful project delivery.

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.